Data store transition using a data migration server

ABSTRACT

Techniques are disclosed relating to transitioning between data stores using a data migration server. In some embodiments, the data migration server may be used to access data stored on a preexisting data store to service requests from a plurality of services. A dual-write operation mode for the data migration server may then be enabled such that, in response to a given write request, the data migration server writes a given data entry to both the preexisting data store and a replacement data store. Further, a dual-read operation mode may be enabled such that, in response to a given read request, the data migration server reads a corresponding data entry from both the preexisting and replacement data stores. Configuration settings for the data migration server may then be adjusted to designate the replacement data store as the primary data store to service requests from the services.

CROSS REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No.16/457,812 filed on Jun. 28, 2019 which issued as U.S. Pat. No.11,144,517 on Oct. 12, 2021, the contents of which are herebyincorporated by reference in their entirety for all purposes.

BACKGROUND Technical Field

This disclosure relates generally to server computer systems and, moreparticularly, to transitioning between data stores for a server computersystem using a data migration server.

Description of the Related Art

Server systems, such as web servers, application servers, email servers,etc., may provide various computing resources and services to an enduser. For example, a server system may be used to provide access to oneor more web services to remote users via one or more networks. A serversystem will commonly maintain one or more data stores, such as adatabase, to use as a data store for the users and the services. In thecourse of providing the services, the server system will perform variousdata-access operations using the one or more data stores. In variousinstances, however, it may be necessary or desirable to transition froma preexisting “legacy” data store to a new data store. Transitioningbetween data stores presents various technical challenges, however, suchas minimizing service interruption during the transition and ensuringdata quality in the new data store.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating an example system 100 in which adata migration server is used to transition from a preexisting datastore to a replacement data store used to support one or more services,according to some embodiments.

FIGS. 2A-2H depict a series of block diagrams illustrating stages in theprocess of transitioning from a preexisting data store to a replacementdata store, according to some embodiments.

FIG. 3 is a block diagram illustrating an example data migration server,according to some embodiments.

FIG. 4 is a flow diagram illustrating an example method fortransitioning between data stores using a data migration server,according to some embodiments.

FIG. 5 is a block diagram illustrating an example computer system,according to some embodiments.

DETAILED DESCRIPTION

Server systems, such as web servers, application servers, email servers,etc., may provide various computing resources and services to an enduser. For example, a server system may be used to provide access to oneor more web services to remote users via one or more networks. A serversystem will commonly maintain one or more data stores, such as adatabase, to use as a data store for the users and the services. In thecourse of providing the services, the server system will perform variousdata-access operations using the one or more data stores. For example,when a new user enrolls in the service, the server system may create newentries in one or more databases to store the user's accountinformation.

In various instances, however, it may be necessary or desirable totransition from a preexisting “legacy” data store to a new data store.For example, as data storage technology improves, it may be desirable toupgrade to a newer data storage system to better support the various webservices. Transitioning between data stores presents various technicalchallenges, however. For example, to transition from the preexistingdata store to the replacement data store, all (or most) data stored onthe preexisting data store may need to be migrated to the replacementdata store, in many instances. For large web services, this may entailcopying a large amount of data (e.g., hundreds of millions of dataentries) from one data store to the next, which may require asignificant amount of time to complete. Additionally, making such a datastore transition typically requires an interruption in the availabilityof the web service(s) that rely on the preexisting data store.

Thus, prior techniques for transitioning between data stores for aserver system are often time-intensive processes that involve(potentially extended) service-interruptions, thereby degrading the userexperience. In various embodiments, however, the disclosed systems andmethods may address these or other technical problems by transitioningbetween data stores in a way that ensures reliable data migration whilemitigating service interruption, as explained in more detail below.

Referring now to FIG. 1 , a block diagram illustrating a system 100 fortransitioning between data stores using a data migration server isshown, according to some embodiments. In the embodiment of FIG. 1 ,system 100 includes data migration server 102, server system 106 (beingused to host various web services 108), preexisting data store 110, andreplacement data store 112. Note that, although shown in directconnection, one or more of server system 106, data migration server 102,preexisting data store 110, and replacement data store 112 may beconnected via one or more communication networks (not shown forclarity).

In various embodiments, server system 106 may host various web services108A-N accessible to various remote users via one or more communicationnetworks. For example, in various embodiments, server system 106 mayhost an email service, streaming service, online payment service, or anyother suitable web service 108. A given service 108 may provide variousfunctionalities to users with valid user accounts. For example, in anembodiment in which service 108A is an online payment service, it mayprovide end users having valid user account with variousfunctionalities, such as sending and receiving online money transfers,viewing financial statements, etc. Note, however, that this embodimentis provided merely as an example and is not intended to limit the scopeof the present disclosure. In other embodiments, the disclosed systemsand methods may be implemented in the context of any other suitable webservice 108. Further note that although only one server system 106 isshown in FIG. 1 , in other embodiments, any suitable number of serversystems 106 may be used to host the services 108A-108 N.

FIG. 1 further depicts data migration server 102, which hosts datamigration service 104. As described in more detail herein, datamigration service 104, in various embodiments, is operable to facilitatethe transition from preexisting data store 110 to replacement data store112 as the primary data store for one or more of the services 108. Forexample, as described in more detail below with reference to FIG. 2A,prior to transitioning to the replacement data store 112, server system106 may use the preexisting data store 110 is the primary data store forservices 108. In such a configuration, when a given service 108A needsto perform a data-access operation, such as creating or updating a dataentry associated with the user of the service, the service 108A may makea data-access request directly to the preexisting data store 110. Invarious embodiments, the disclosed systems and methods use the datamigration server 102 and the data migration service 104 as anintermediary between the services 108 and the data store such that,rather than sending a data-access request directly to the preexistingdata store 110, the services 108 instead send these data-access requeststo the data migration server 102. The data migration server 102 maythen, in various embodiments, service the data-access requests whilesimultaneously facilitating the transition from preexisting data store110 to replacement data store 112, as described in more detail belowwith reference to FIGS. 2A-2H. Once the transition is complete, thepreexisting data store 110 may be decommissioned such that it is nolonger relied on as the data store for the services 108.

Thus, in various embodiments, the disclosed techniques allow for thetransition between data stores to be performed “in the background” withlittle to no interruption in the availability of services 108. Further,as described in more detail below with reference to FIG. 2E, thedisclosed techniques, in various embodiments, include various dataverification operations to ensure data quality during the transitionfrom one data store to the next. Accordingly, the disclosed systems andmethods facilitate the efficient and reliable transition from one datastorage system to the next in a way that minimizes serviceinterruptions, thereby improving the data migration process and thefunctioning of system 100 as a whole.

FIGS. 2A-2H depict a series of block diagrams illustrating variousstages in the process of transitioning from preexisting data store 110to replacement data store 112 as the primary data store for one or moreof the services 108, according to various embodiments.

In FIG. 2A, block diagram 200 illustrates an initial state of the serversystem 106, services 108, and the preexisting data store 110 prior tothe transition to replacement store 112, according to some embodiments.As shown in FIG. 2A, during this initial state, the various services 108may access the preexisting data store 110 directly. That is, the serversystem 106 may read data from and write data to the preexisting datastore 110 to service data-access requests for the various services 108.For example, a particular service 108C may receive a request from aremote user (not shown, for clarity) to retrieve an item of data. Inresponse to this request, the service 108C may send a read request tothe preexisting data store 110, which may then return the requested itemof data for the service 108C. Note that, in various embodiments,services 108 may include many (e.g., hundreds, thousands, etc.) ofdifferent web services hosted by one or more server systems 106. Furthernote that, in various embodiments, these services may be written usingany one or more suitable programming languages, such as C++, Java, etc.

In FIG. 2B, data migration server 102 has been introduced as anintermediary such that all data-access traffic from the services 108 tothe preexisting data store 110 are routed through the data migrationserver 102. That is, in the embodiment of FIG. 2B, the data-access layerfor the services 108 has been modified from a direct call to thepreexisting data store 110 (as shown in FIG. 2A) to a service call tothe data migration server 102. As shown in FIG. 2B, the data migrationserver 102 is configured to access data stored on the preexisting datastore 110 to service request from the various services 108. In FIG. 2B,the preexisting data store 110 is still being used as the primary datastore for the services 108.

In FIG. 2C, block diagram 220 illustrates a data replication process inwhich data stored in the preexisting data store 110 is replicated to thereplacement data store 112. That is, the data stored in the preexistingdata store 110 may be copied to the replacement data store 112 suchthat, upon completion of this data replication process depicted in FIG.2C, the replacement data store 112 includes a replication (eithercomplete or partial) of the data stored in the preexisting data store110. In various embodiments, while this data replication process isbeing performed, preexisting data store 110 is still being used toservice data-access requests from the data migration server 102 for thevarious services 108. As mentioned above, replacement data store 112 maybe any of various suitable data storage systems. As one non-limitingexample, the replacement data store 112 may be implemented as a shardeddatabase system that includes multiple database shards, according tosome embodiments. Although indicated in FIG. 2C as a single data storefor convenience, in various embodiments, replacement data store 112 maybe implemented using multiple physically or logically separate datastores. For example, in some embodiments in which the replacement datastore 112 is a sharded database system, one or more of the databaseshards may be implemented on separate database server instances or onseparate database server systems.

Accordingly, none of the services 108 are required to be interruptedwhile this data replication process is performed, according to variousembodiments. Note that, as the services 108 are not interrupted,data-access operations are being performed at the same time that data isbeing replicated from the preexisting data store 110 to the replacementdata store 112. For example, while the data replication is taking place,new data entries are being created and existing data entries are beingedited and deleted on the preexisting data store 110. To ensure thatthis data is properly replicated in the replacement data store 112,various disclosed embodiments include performing live data replicationto the replacement data store 112 for changes made to the preexistingdata store 110 during the data migration process. Various suitableservices may be used to perform this data replication from thepreexisting data store 110 to the replacement data store 112, accordingto various embodiments. For example, in some embodiments, the Oracle™GoldenGate replication service may be used to perform some or all ofthis data replication process. Note that although there may be somedelay (e.g., 10-15 seconds) associated with copying live data written tothe preexisting data store 110 to the replacement data store 112 usingsuch a replication service, in various instances such a service willhelp to ensure consistent data between the two data stores 110 and 112.Additionally note that this embodiment is provided merely as an exampleand is not intended to limit the scope of the present disclosure. Inother embodiments, various other suitable data replication services ortechniques may be used.

Further note that, in some embodiments, it may be necessary to performone or more transformations to the format of the data as it isreplicated to the replacement data store 112. For example, in someembodiments, the replacement data store 112 may utilize a differentunderlying data format to store data than the preexisting data store110. In such embodiments, this data replication process may includeperforming any necessary modifications to the data as it is migrated tothe replacement data store 112.

FIG. 2D depicts a block diagram 230 in which the data migration server102 has been placed in a dual-write operation mode. While in thisdual-write operation mode, the data migration server 102 is operable towrite data, from the various services 108, to both the preexisting datastore 110 and the replacement data store 112. For example, in responseto a write request from a particular service 108D, the data migrationserver 102 may write the relevant data to both the preexisting datastore 110 and the replacement data store 112. In various embodiments,the preexisting data store 110 is still used as the primary data storeused service data-access requests for the services 108 at this stage inthe data store transition process. Stated differently, while the datamigration server 102 writes data to both the preexisting data store 110and the replacement data store 112, it only reads data from thepreexisting data store 110, not the replacement data store 112, and itreturns the data read from the preexisting data store 110 to therequesting service(s) 108. For example, if a given service 108E sends aread request to the data migration server 102, that read request wouldbe serviced from the preexisting data store 110, according to variousembodiments.

In FIG. 2E, block diagram 240 includes a data verification system 202,which, in various embodiments, is configured to perform dataverification operations as part of the transition from preexisting datastore 110 to replacement data store 112. In the embodiment of FIG. 2E,the data migration server 102 has been placed in a dual-read operationmode in which, in response to a read request from one or more of theservices 108, the data migration server 102 reads corresponding dataentries from both the preexisting data store 110 and the replacementdata store 112. Note, however, that in the embodiment of FIG. 2E, thepreexisting data store 110 is still used as the primary data store forthe various services 108. That is, although data is read from both datastores 110 and 112, it is only the data read from the preexisting datastore 110 that is returned to the requesting service 108. Instead, thedata read from replacement data store 112 is used for data verificationpurposes to ensure data quality during the transition process.

In various embodiments, the data migration service 104 is operable tofacilitate data verification operations to verify the data read from thereplacement data store 112 matches corresponding data read from thepreexisting data store 110. Note that, in some embodiments, the dataverification operations may be performed by the data migration server102 itself. In other embodiments, such as the embodiment depicted inFIG. 2E, some or all of the data verification operations may beperformed by a separate system, such as data verification system 202.For example, in the depicted embodiment, as data is read from both thepreexisting data store 110 and the replacement data store 112 inresponse to read requests (initiated by one or more of the services108), that data is provided to the data verification system 202.Although shown as a single entity in FIG. 2E for convenience, note that,in various embodiments, the data verification system 202 may beimplemented using a distributed computing framework, such as Apache™Hadoop to perform large-scale data verification using a number ofcomputing systems. Note, however, that this embodiment is providedmerely as an example and is not intended to limit the scope of thepresent disclosure.

In various embodiments, the data verification system 202 is configuredto compare corresponding data entries from the two data stores 110 and112 to ensure that the data read from the replacement data store 112matches the data read from the preexisting data store 110. For example,if for a given pair of data entries, the data read from the replacementdata store 112 matches the data read from the preexisting data store110, the data verification system 202 designates that read operation asa successful read operation by the data verification system 202. If,however, the data read from the replacement data store 112 does notmatch the data read from the preexisting data store 110, the dataverification system 202 designates the data read from the preexistingdata store 110 as the correct version of the data and generates afailure indication corresponding to the read operation. In variousembodiments, the data verification system 202 may store informationregarding the data verification operation, such as the number of readoperations performed, the number of read operations that failed,identification information for those data entries for which a readoperation failed, the percentage of total read operations for a givenservice 108 (or for all services 108) that failed, etc.

In various embodiments, data verification system 202 is operable togenerate a data quality report indicative of the performance of the dataverification operations. For example, in some embodiments, the dataquality report may indicate the percentage of successful read operationsin which the data read from the preexisting data store 110 matched dataread from the replacement data store 112. Note, however, that thisembodiment is provided merely as an example is not intended to limit thescope of the present disclosure. In other embodiments, data verificationsystem 202 may generate a data quality report that specifies anysuitable combination of performance metrics indicative of the dataquality of the data stored by replacement data store 112. In variousembodiments, the data quality reports may be used to determine whetherthe data read from the replacement data store 112 is sufficientlyaccurate to proceed further in the data store transition process. Forexample, in some embodiments, the disclosed systems may measure the dataquality of the data read from replacement data store 112 with referenceto a “quality threshold” that indicates a measure to which the dataretrieved from the replacement data store 112 matches the data read fromthe preexisting data store 110. As a non-limiting example, this qualitythreshold may be expressed, in some embodiments, as a percentage value,such as 90%, 95%, 99%, etc. Note, however, that this embodiment isprovided merely as an example and is not intended to limit the scope ofthe present disclosure. In other embodiments, for example, various othersuitable representations of the quality threshold may be used asdesired, such as a score range (e.g., 0-1, 1-10, etc.). In variousembodiments, as part of the data verification operations, the dataverification system 202 may compare the accuracy of the data read fromthe replacement data store 112 to this quality threshold. In some suchembodiments, if the accuracy of the data read from the replacement datastore 112 exceeds this quality threshold, the data verification system202 may send an indication of this to the data migration server 102.

Note that, in some embodiments, the data verification system 202 maydelay generating the data quality report until a particular number ofcorresponding data entries have been read from the preexisting datastore 110 and the replacement store 112. For example, in some suchembodiments, the data migration server 102 may perform a large number(e.g. tens of millions) of read operations for the services 108 in agiven day. In some such embodiments, the data verification system 202may perform the data verification operations and generate the dataquality report once the number of data entry pairs being analyzedexceeds a minimum value of transactions (e.g., 20 million, 100 million,etc.). Deferring the data quality report until this minimum number oftransactions has been logged may improve the quality of the dataverification operations by ensuring that a sufficiently large samplesize has been obtained, according to some embodiments.

Further note that, in some embodiments, when a given data entry readfrom the replacement data store 112 does not match the correspondingdata entry read from the preexisting data store 110, data migrationserver 102 may take one or more corrective actions. For example, toensure coherency between the two data stores, the data migration server102 may update the relevant data entry in replacement data store 112 tomatch the corresponding value that was read from the preexisting datastore 110. In this way, the disclosed systems and methods may providetechniques for both verifying the data in the replacement data store 112and correcting that data in the event that an inconsistency is detected.Additionally, note that, in some embodiments, the disclosed systems andmethods may continue to perform data verification operations even aftertransitioning from the preexisting data store 110 to the replacementdata store 112 as the primary data store. For example, after making thistransition but prior to decommissioning the preexisting data store 110,data migration server 102 (with data verification system 202, in someembodiments) may continue to perform data verification for somepredetermined time interval (e.g., one week, one month, etc.) or usageinterval (e.g., 10 million data read operations, etc.).

In addition to transitioning from the preexisting data store 110 to thereplacement data store 112 as the primary data store for the services108, various disclosed embodiments may also migrate one or more othersystems (e.g., “downstream” systems, such as extract, transform, load(“ETL”) operations) to the replacement data store 112. Referring toFIGS. 2F-2G, for example, block diagrams 250 and 260 depict stages inthe process of transitioning ETL operations from the preexisting datastore 110 to the replacement data store 112. As will be appreciated byone skilled in the art, ETL refers generally to the process of copyingdata from one or more data stores (such as the preexisting data store110 or the replacement data store 112) to another, such as datawarehouse 204 of FIGS. 2F-2G. As one non-limiting example, datawarehouse 204 may be implemented using Oracle Integration Server,according to some embodiments. For example, as indicated in FIG. 2F,prior to transitioning from preexisting data store 110 to replacementdata store 112, ETL operations may be performed (e.g., periodically) toextract (e.g., read) the data stored data in preexisting data store 110,perform one or more transformations on the extracted data (e.g.,adjusting its format or structure), and load (e.g., write) it into thedata warehouse 204. In various embodiments, the disclosed systems andmethods may additionally transition from the preexisting data store 110to the replacement data store 112 as the source of data for these ETLoperations such that, after the transition, data is extracted,transformed, and loaded from the replacement data store 112 to the datawarehouse 204, as indicated in FIG. 2G. For instance, in someembodiments, the ETL service, as well as various other services in thesystem 100, may be adjusted to point to the replacement data store 112,rather than the preexisting data store 110, as the data source for theirrespective operations. ETL operations may be performed for variousreasons, according to different embodiments. In some instances, forexample, ETL operations may be performed to integrate data from multiplesegments of an organization so that data for the organization as a whole(or simply a larger segment of the organization) may be standardized andconsolidated in a central storage area, rather than in potentially manyseparate data stores. For example, though not shown in FIG. 2F or 2G,data warehouse 204 may be used to consolidate data from various otheraspect of the system 100 in which the services 108 are provided.

In various embodiments, once the data stored in, and read from, thereplacement data store 112 has been verified and is deemed sufficientlyaccurate, various embodiments include switching from the preexistingdata store 110 to the replacement data store 112 as the primary datastore to service data-access requests from the services 108. Forexample, as described in more detail below with reference to FIG. 3 ,configuration settings associated with the data migration server 102 maybe adjusted to designate the replacement data store 112 as the primarydata store such that, once this designation is made, the data migrationserver 102 returns data read from the replacement data store 112 to therequesting services 108.

Note that, in some embodiments, this change in designation as theprimary data store may be performed either with or without direct userinteraction, according to various embodiments. For example, in someembodiments, data migration server 102 is configured to receive dataquality reports from the data verification system 202 and, based on thequality of the data stored in the replacement data store 112, mayautonomously determine whether to designate the replacement data store112 as the primary data store. In other embodiments, however, thischange in designation may be performed in response to user input. Forexample, in some embodiments, the data quality report generated by thedata verification system 202 may be analyzed by a human operator (e.g.,a system administrator) who may determine whether to change thedesignation of the primary data store. In some such embodiments, theuser may change the designation by accessing and modifying theconfiguration data included in (or stored in a storage area accessibleto) the data migration server 102.

In some embodiments, data migration server 102 may continue to operatein dual-read or dual-write operation modes for a period of time afterthe replacement data store 112 has been designated as the primary datastore for the services 108. For example, in some embodiments, datamigration server 102 may continue to write data to and read data fromboth the preexisting data store 110 and the replacement data store 112for a particular time period (e.g., one day, one week, one month, etc.)to perform further data verification operations to ensure continued dataquality in the period following the transition from the preexisting datastore 110 to the replacement data store 112. In some embodiments, thismonitoring process may be performed either by the data migration server102 itself or, as described above with reference to FIG. 2E, using thedata verification system 202, according to various embodiments. Furthernote that, in some embodiments, the disclosed systems and methods mayadditionally include monitoring the performance of one or more otherservices that utilize the replacement data store 112, such as the ETLoperations discussed above, to ensure that the switch from thepreexisting data store 110 to the replacement data store 112 has notnegatively impacted the performance of those services.

After the replacement data store 112 has been designated as the primarydata store for the services 108, various disclosed embodiments includedecommissioning the preexisting data store 110, as depicted in FIG. 2H.Once decommissioned, the preexisting data store 110 is no longer used toservice requests for the services 108. In various embodiments,decommissioning the preexisting data store 110 includes disabling boththe dual-read and the dual-write operation modes for the data migrationserver 102 such that the data migration server 102 ceases writing datato and reading data from the preexisting data store 110. Further, insome embodiments, decommissioning the preexisting data store 110 mayinclude disconnecting it from the system 100 entirely such that it is nolonger used, or repurposing it to serve as a data store for a differentuse.

Referring now to FIG. 3 , a block diagram illustrating an example datamigration server 102 is depicted, according to some embodiments. Invarious embodiments, the data migration server 102 is operable tofacilitate the transition from the preexisting data store 110 to thereplacement data store 112 as the primary data store for the variousservices 108. For example, in the depicted embodiment, data migrationserver 102 includes data migration service 104, which, in variousembodiments, is operable to service various data-access requests fromthe services 108 while facilitating the transition from the preexistingdata store 110 to the replacement data store 112.

In the depicted embodiment, data migration service 104 includes datamanagement system 304. In various embodiments, data management system304 is operable to service read and write requests from the variousservices 108 by accessing data stored in the preexisting data store 110and the replacement data store 112. For example, depending on the natureof the data-access request from the services 108, the data managementsystem 304 may create, retrieve, update, or delete data entries in thepreexisting data store 110 and replacement data store 112. In someembodiments, data management system 304 may be implemented as a databasemanagement system, such as the Oracle™ RDBMS. Note, however, that thisembodiment is provided merely as an example and is not intended to limitthe scope of the present disclosure. In other embodiments, for example,the data management system 304 may be implemented using various suitabledata management services or techniques.

In various embodiments, the manner in which the data management system304 operates may vary based on the operating mode of the data migrationserver 102. For example, as described above with reference to FIG. 2B,during some stages in the process of transitioning from the preexistingdata store 110 to the replacement data store 112, data migration server102 may be configured to read data from and write data to thepreexisting data store 110 as the primary data store, and not read orwrite data to the replacement data store 112. During other stages in thetransition process, however, such as that shown in FIG. 2D, the datamigration server uses a dual-write operation mode in which it writesdata to both the preexisting data store 110 and the replacement datastore 112, while reading data solely from the preexisting data store110. In various embodiments, the different operation modes for the datamigration server 102 may be enabled and disabled by adjusting the statusof one or more configuration settings. For example, as shown in FIG. 3 ,data migration server includes (or has access to) configuration data302, which the data migration server 102 may use to transition betweenoperation modes. As one non-limiting example, the operation mode of thedata migration server can be represented as a 4-bit binary sequence inwhich one bit field is indicative of a single-read operation mode, onebit field is indicative of a single-write operation mode, one bit fieldis indicative of a dual-read operation mode, and the final bit field isindicative of a dual-write operation mode. This example 4-bit sequencemay be explained more easily with reference to Table 1:

TABLE 1 Bit Field Explanation 0 x x x Read from preexisting data store110 1 x x x Read from replacement data store 112 x 0 x x Write topreexisting data store 110 x 1 x x Write to replacement data store 112 xx 0 x Dual-read off x x 1 x Dual-read on x x x 0 Dual-write off x x x 1Dual-write on

Note that, in the table above, a given row contains a value for only onebit field, with the other bit fields being populated with the “x”symbol. This notation is used to explain the meaning of a given bitfield (the bit field for which there is a value provided) withoutreference to the other bit fields (the bit fields for which there is an“x”). Using this example encoding scheme, the configuration settings forthe various operation modes of the data migration server 102 may beexpressed in configuration data 302. As a non-limiting example, variousoperation modes of the data migration server 102 may be expressed asprovided in Table 2:

TABLE 2 Bit Pattern Explanation 0 0 0 0 Read from and write topreexisting data store 110 (Shown in FIG. 2B) 0 0 0 1 Write to bothpreexisting data store 110 and replacement data store 112 (e.g.,dual-write) Read from preexisting data store 110 (Shown in FIG. 2D) 0 01 1 Dual-write to both preexisting data store 110 and replacement datastore 112 Dual-read from both preexisting data store 110 and replacementdata store 112 Use preexisting data store 110 as the primary data store(Shown in FIG. 2E) 1 1 1 1 Dual-write to both preexisting data store 110and replacement data store 112 Dual-read from both preexisting datastore 110 and replacement data store 112 Use replacement data store 112as the primary data store 1 1 0 0 Read from and write to replacementdata store 112 Use replacement data store 112 as the primary data store(Shown in FIG. 2H)

Note that, in some embodiments, the bit patterns used to indicate theoperation mode of the data migration server 102 may further include abit field used to specifically designate which of the data stores,preexisting data store 110 or replacement data store 112, is to be usedas the primary data store for the various services 108. In otherembodiments, such as the embodiment illustrated above, the designationof which data store is to be used as the primary data store may beimplicitly expressed through the value of one or more fields in the bitpattern. In the example bit patterns shown above, the designation ofwhich data store is the primary data store is implicitly expressedthrough the “read from” and “write to” bit fields. For example, in thefirst bit pattern shown above (“0000”), it is implicit from the “readfrom” and “write to” bit fields that the preexisting data store 110 isdesignated as the primary data store since data is read from and writtento the preexisting data store 110 and not the replacement data store112. Similarly, in the fifth bit pattern shown above (“1100”), it isimplicit from the “read from” and “write to” bit fields that thereplacement data store 112 is designated as the primary data store asdata is read from and written to the replacement data store and not thepreexisting data store 110. Further still, in the fourth bit patternshown above (“1111”), it is implicit from the “read from” and “write to”bit fields that the replacement data store 112 is designated as theprimary data store since, although data is read from and written to bothdata stores 110 and 112, it is the data read from the replacement datastore 112 that is returned to the requesting services 108. As notedabove, however, in various embodiments the primary data store may simplybe designated using a dedicated bit field (e.g., a “flag”) or using anyother suitable technique. Further note that the above embodiment isprovided merely as an example and is not intended to limit the scope ofthe present disclosure. As will be appreciated by one of skill in theart with the benefit of this disclosure, in other embodiments, theoperation mode for the data migration server 102 may be expressed andmodified using any of various suitable techniques.

As shown in FIG. 3 , data migration server 102 further includes dataquality module 306. In various embodiments, data quality module 306 isoperable to facilitate data verification operations to verify the dataread from the replacement data store 112. For example, as discussedabove with reference to FIG. 2E, in some embodiments the data qualitymodule 306 is operable to facilitate data verification operations byproviding, to a data verification system 202, corresponding data entriesread from both the preexisting data store 110 and the replacement datastore 112 so that the data verification system 202 may compare thesecorresponding entries. This process may be continued over apredetermined period (e.g., one day, one week, 10 million read dataentries, or any other suitable time or usage period) so that the dataverification system 202 may assess the data quality of the data storedin the replacement data store 112 over a sufficiently large sample size.The data verification system 202 may then generate and provide a dataquality report indicating whether the data read from the replacementdata store 112 during a dual-read operation mode exceeds a qualitythreshold. Note, however, that in some embodiments, the data qualitymodule 306 of data migration server 102 may be operable to perform someor all of the data verification operations described with reference tothe data verification system 202. For example, in some embodiments, thedata quality module 306 is operable to compare corresponding entriesread from the preexisting data store 110 and the replacement data store112 and generate a data quality report indicating whether the data readfrom the replacement data store 112 exceeds the quality threshold.

Turning now to FIG. 4 , a flow diagram illustrating an example method400 for transitioning between data stores using a data migration serveris depicted, according to some embodiments. In various embodiments,method 400 may be performed by data migration server 102 of FIG. 1 totransition from preexisting data store 110 to replacement data store 112as the primary data store for various ones of the services 108A-N. Forexample, data migration server 102 may include (or have access to) anon-transitory, computer-readable medium having program instructionsstored thereon that are executable by the data migration server to causethe operations described with reference to FIG. 4 . In FIG. 4 , method400 includes elements 402-410. While these elements are shown in aparticular order for ease of understanding, other orders may be used. Invarious embodiments, some of the method elements may be performedconcurrently, in a different order than shown, or may be omitted.Additional method elements may also be performed as desired.

At 402, in the illustrated embodiment, the data migration server 102accesses data stored on a preexisting data store to service requestsfrom a plurality of services. For example, as shown in FIG. 2B, datamigration server 102 may act as an intermediary between the services 108being hosted by one or more server systems 106 and the preexisting datastore 110, which is being used as the primary data store for theservices 108. In such embodiments, when a given service 108 needs toperform a data-access operation, it may send a read or write request tothe data migration server 102, which may then perform the appropriatedata-access operation using the preexisting data store 110.

At 404, in the illustrated embodiment, a dual-write operation mode isenabled for the data migration server such that, in response to a givenwrite request from one of the plurality of services, the data migrationserver writes a given data entry to both the preexisting data store anda replacement data store that is configured to store data used by theplurality of services. For example, while in this dual-write operationmode, the data migration server 102 may perform write operations to boththe preexisting data store 110 and the replacement data store 112, asdepicted in FIG. 2D. As noted above, in some embodiments, thereplacement data store 112 is a sharded database system. Further, asdiscussed above with reference to FIG. 3 , the data migration server 102may transition between operation modes using various suitabletechniques. For example, in some embodiments, data migration service 104may include (or have access to) configuration data 302, which may beused to specify and modify a current operation mode for the datamigration server 102.

At 406, in the illustrated embodiment, a dual-read operation mode isenabled for the data migration server such that, in response to a givenread request from one of the plurality of services, the data migrationserver reads a corresponding entry from both the preexisting data storeand the replacement data store. Note that, in various embodiments,method 400 may include replicating data from the preexisting data store110 to the replacement data store 112 prior to enabling the dual-readoperation mode for the data migration server 102. Further note that, insome embodiments, it is possible that data read from the replacementdata store 112 will not match the corresponding data read from thepreexisting data store 110 for a given read request. In response to adetermination that a data entry read from the replacement data store112, while operating in the dual-read operation mode, does not match acorresponding data entry read from the preexisting data store 110,method 400 may include returning the data entry read from thepreexisting data store 110 to the requesting service 108.

At 408, in the illustrated embodiment, method 400 includes verifyingdata read from the replacement data store by the data migration serverduring the dual-read operation mode. In some embodiments, verifying thedata read from the replacement data store may include readingcorresponding data entries from both the preexisting data store 110 andthe replacement data store 112, comparing the corresponding data entriesto determine whether a given data entry read from the preexisting datastore 110 matches a corresponding data entry read from the replacementdata store 112, and generating a data quality report based on thecomparison that indicates whether the data read from the replacementdata store 112 during the dual-read operation mode exceeds a qualitythreshold. In some embodiments, some or all of the data verificationoperations may be performed by the data migration server 102 itself. Inother embodiments, however, some or all of the data verificationoperations may be performed by a data verification system 202 accessibleto the data migration server 102. In some such embodiments, element 408includes providing, to the data verification system 202, a plurality ofcorresponding data entries read from both the preexisting data store 110and the replacement data store 112. Once the data verification system202 has performed various verification operations it may send, to thedata migration server 102, a data quality report, as noted above.

At 410, in the illustrated embodiment, method 400 includes, in responseto verifying that the data read from the replacement data store duringthe dual-read operation mode exceeds a quality threshold, adjustingconfiguration settings for the data migration server to designate thereplacement data store as the primary data store used by the datamigration server to service requests from the plurality of services.Once the replacement data store 112 is designated as the primary datastore, the data migration server 102 may return data read from thereplacement data store 112 in response to read requests from requestingservices 108. Note that, in some embodiments, transitions between one ormore of the operation modes of the data migration server 102 may beperformed automatically by the data migration server 102. For example,in some embodiments, the data migration server 102 may receive a dataquality report from the data verification system 202 indicating that thedata read from the replacement data store 112 exceeds the qualitythreshold and, based on this, may automatically transition to asubsequent operation mode in which the replacement data store 112 isdesignated as the primary data store. In other embodiments, however,transitions between one or more of the operation modes of the datamigration server 102 may be made in response to user input. For example,in some embodiments, a human operator may analyze the data qualityreport provided by the data verification system 202 and, based on thereport, may provide input to adjust the configuration settings for thedata migration server 102 to change its operation mode.

In various embodiments, subsequent to designating the replacement datastore 112 as the primary data store, method 400 may includedecommissioning the preexisting data store 110 such that, oncedecommissioned, the preexisting data store 110 is no longer used toservice requests from the plurality of services. In some embodiments,decommissioning the preexisting data store includes disabling thedual-write and dual-read operation modes for the data migration server102 such that it ceases to write data to or read data from thepreexisting data store 110.

Note that, in some embodiment, data may be copied from the preexistingdata store 110 to the replacement data store 112 through use of ETLoperations. For example, in some such embodiments, the disclosed systemsand methods may include copying data from a data warehouse (e.g., datawarehouse 204 of FIG. 2F) to the replacement data store 112 via thereplacement data store 110. The data warehouse may then enter adual-write operation mode in which it writes data to both thepreexisting data store 110 and the replacement data store 112. Invarious embodiments, the data warehouse may then migrate the datatraffic to the replacement data store 112 and disable the dual-writeoperation mode, allowing the preexisting data store 110 to bedecommissioned.

Further, in some embodiments, the disclosed techniques may includetransitioning from a preexisting data store 110 to a replacement datastore 112 using a SaaS-based e-commerce application, such as Oracle™Commerce Cloud (“OCC”). For example, in embodiments in which one or moreof the services 108 use OCC to perform data-access operations, thedisclosed data store transition techniques may begin by replicating datafrom the preexisting data store 110 to the replacement data store 112(e.g., using Oracle GoldenGate replication). Then, in some embodiments,data-access traffic may be migrated to the replacement data store 112 byredirecting data-access calls from a preexisting “legacy” OCC instance,associated with the preexisting data store 110, to a replacement OCCinstance associated with the replacement data store 112. Additionally,in various embodiments, the data replication from the preexisting datastore 110 to the replacement data store 112 may be ceased at this stage.As data is now being written to the replacement data store 112 by thereplacement OCC, however, data replication may be initiated in the otherdirection to replicate data from the replacement data store 112 to thepreexisting data store 110, according to various embodiments. Further,some embodiments may include transitioning ETL operations from thepreexisting data store 110 to the replacement data store 112, asdiscussed in more detail above with reference to FIGS. 2F-2G.Additionally, rather than routing data-access requests through thepreexisting OCC instance to the replacement OCC instance, someembodiments may then migrate the data-access requests, from the variousservices 108, directly to the replacement OCC instance. Note that, insome such embodiments, the disclosed systems and methods may includeperforming data verification operations, as described above withreference to FIG. 2E, during this data store transition process. Once itis determined that the data quality of the replacement data store 112exceeds a particular quality threshold, the backwards replicationprocess to the preexisting data store 110 may be ceased and thepreexisting data store 110, along with its associated OCC instance, maybe decommissioned.

Example Computer System

Referring now to FIG. 5 , a block diagram of an example computer system500 is depicted, which may implement one or more computer systems, suchas a computer system used to implement data migration server 102 of FIG.1 , according to various embodiments. Computer system 500 includes aprocessor subsystem 520 that is coupled to a system memory 540 and I/Ointerfaces(s) 560 via an interconnect 580 (e.g., a system bus). I/Ointerface(s) 560 is coupled to one or more I/O devices 570. Computersystem 500 may be any of various types of devices, including, but notlimited to, a server computer system, personal computer system, desktopcomputer, laptop or notebook computer, mainframe computer system, servercomputer system operating in a datacenter facility, tablet computer,handheld computer, workstation, network computer, etc. Although a singlecomputer system 500 is shown in FIG. 5 for convenience, computer system500 may also be implemented as two or more computer systems operatingtogether.

Processor subsystem 520 may include one or more processors or processingunits. In various embodiments of computer system 500, multiple instancesof processor subsystem 520 may be coupled to interconnect 580. Invarious embodiments, processor subsystem 520 (or each processor unitwithin 520) may contain a cache or other form of on-board memory.

System memory 540 is usable to store program instructions executable byprocessor subsystem 520 to cause system 500 perform various operationsdescribed herein. System memory 540 may be implemented using differentphysical, non-transitory memory media, such as hard disk storage, floppydisk storage, removable disk storage, flash memory, random access memory(RAM—SRAM, EDO RAM, SDRAM, DDR SDRAM, RAMBUS RAM, etc.), read onlymemory (PROM, EEPROM, etc.), and so on. Memory in computer system 500 isnot limited to primary storage such as system memory 540. Rather,computer system 500 may also include other forms of storage such ascache memory in processor subsystem 520 and secondary storage on I/Odevices 570 (e.g., a hard drive, storage array, etc.). In someembodiments, these other forms of storage may also store programinstructions executable by processor subsystem 520.

I/O interfaces 560 may be any of various types of interfaces configuredto couple to and communicate with other devices, according to variousembodiments. In one embodiment, I/O interface 560 is a bridge chip(e.g., Southbridge) from a front-side to one or more back-side buses.I/O interfaces 560 may be coupled to one or more I/O devices 570 via oneor more corresponding buses or other interfaces. Examples of I/O devices570 include storage devices (hard drive, optical drive, removable flashdrive, storage array, SAN, or their associated controller), networkinterface devices (e.g., to a local or wide-area network), or otherdevices (e.g., graphics, user interface devices, etc.). In oneembodiment, I/O devices 570 includes a network interface device (e.g.,configured to communicate over WiFi, Bluetooth, Ethernet, etc.), andcomputer system 500 is coupled to a network via the network interfacedevice.

Although the embodiments disclosed herein are susceptible to variousmodifications and alternative forms, specific embodiments are shown byway of example in the figures and are described herein in detail. Itshould be understood, however, that figures and detailed descriptionthereto are not intended to limit the scope of the claims to theparticular forms disclosed. Instead, this application is intended tocover all modifications, equivalents, and alternatives falling withinthe spirit and scope of the disclosure of the present application asdefined by the appended claims. The headings used herein are fororganizational purposes only and are not meant to be used to limit thescope of the description.

This disclosure includes references to “one embodiment,” “a particularembodiment,” “some embodiments,” “various embodiments,” “an embodiment,”etc. The appearances of these or similar phrases do not necessarilyrefer to the same embodiment. Particular features, structures, orcharacteristics may be combined in any suitable manner consistent withthis disclosure.

As used herein, the term “based on” is used to describe one or morefactors that affect a determination. This term does not foreclose thepossibility that additional factors may affect the determination. Thatis, a determination may be solely based on specified factors or based onthe specified factors as well as other, unspecified factors. Considerthe phrase “determine A based on B.” This phrase specifies that B is afactor that is used to determine A or that affects the determination ofA. This phrase does not foreclose that the determination of A may alsobe based on some other factor, such as C. This phrase is also intendedto cover an embodiment in which A is determined based solely on B. Asused herein, the phrase “based on” is synonymous with the phrase “basedat least in part on.”

As used herein, the phrase “in response to” describes one or morefactors that trigger an effect. This phrase does not foreclose thepossibility that additional factors may affect or otherwise trigger theeffect. That is, an effect may be solely in response to those factors,or may be in response to the specified factors as well as other,unspecified factors. Consider the phrase “perform A in response to B.”This phrase specifies that B is a factor that triggers the performanceof A. This phrase does not foreclose that performing A may also be inresponse to some other factor, such as C. This phrase is also intendedto cover an embodiment in which A is performed solely in response to B.

As used herein, the terms “first,” “second,” etc. are used as labels fornouns that they precede, and do not imply any type of ordering (e.g.,spatial, temporal, logical, etc.), unless stated otherwise. As usedherein, the term “or” is used as an inclusive or and not as an exclusiveor. For example, the phrase “at least one of x, y, or z” means any oneof x, y, and z, as well as any combination thereof (e.g., x and y, butnot z).

It is to be understood that the present disclosure is not limited toparticular devices or methods, which may, of course, vary. It is also tobe understood that the terminology used herein is for the purpose ofdescribing particular embodiments only and is not intended to belimiting. As used herein, the singular forms “a,” “an,” and “the”include singular and plural referents unless the context clearlydictates otherwise. Furthermore, the word “may” is used throughout thisapplication in a permissive sense (i.e., having the potential to, beingable to), not in a mandatory sense (i.e., must). The term “include,” andderivations thereof, mean “including, but not limited to.” The term“coupled” means directly or indirectly connected.

Within this disclosure, different entities (which may variously bereferred to as “units,” “circuits,” other components, etc.) may bedescribed or claimed as “configured” to perform one or more tasks oroperations. This formulation—[entity] configured to [perform one or moretasks]—is used herein to refer to structure (i.e., something physical,such as an electronic circuit). More specifically, this formulation isused to indicate that this structure is arranged to perform the one ormore tasks during operation. A structure can be said to be “configuredto” perform some task even if the structure is not currently beingoperated. A “memory device configured to store data” is intended tocover, for example, an integrated circuit that has circuitry thatperforms this function during operation, even if the integrated circuitin question is not currently being used (e.g., a power supply is notconnected to it). Thus, an entity described or recited as “configuredto” perform some task refers to something physical, such as a device,circuit, memory storing program instructions executable to implement thetask, etc. This phrase is not used herein to refer to somethingintangible.

The term “configured to” is not intended to mean “configurable to.” Anunprogrammed FPGA, for example, would not be considered to be“configured to” perform some specific function, although it may be“configurable to” perform that function after programming.

Reciting in the appended claims that a structure is “configured to”perform one or more tasks is expressly intended not to invoke 35 U.S.C.§ 112(f) for that claim element. Should Applicant wish to invoke Section112(f) during prosecution, it will recite claim elements using the“means for” [performing a function] construct.

In this disclosure, various “modules” operable to perform designatedfunctions are shown in the figures and described in detail above (e.g.,data migration service 104, data quality module 306, etc.). As usedherein, the term “module” refers to circuitry configured to performspecified operations or to physical, non-transitory computer-readablemedia that stores information (e.g., program instructions) thatinstructs other circuitry (e.g., a processor) to perform specifiedoperations. Such circuitry may be implemented in multiple ways,including as a hardwired circuit or as a memory having programinstructions stored therein that are executable by one or moreprocessors to perform the operations. The hardware circuit may include,for example, custom very-large-scale integration (VLSI) circuits or gatearrays, off-the-shelf semiconductors such as logic chips, transistors,or other discrete components. A module may also be implemented inprogrammable hardware devices such as field programmable gate arrays,programmable array logic, programmable logic devices, or the like. Amodule may also be any suitable form of non-transitory computer readablemedia storing program instructions executable to perform specifiedoperations.

Although specific embodiments have been described above, theseembodiments are not intended to limit the scope of the presentdisclosure, even where only a single embodiment is described withrespect to a particular feature. Examples of features provided in thedisclosure are intended to be illustrative rather than restrictiveunless stated otherwise. The above description is intended to cover suchalternatives, modifications, and equivalents as would be apparent to aperson skilled in the art having the benefit of this disclosure.

The scope of the present disclosure includes any feature or combinationof features disclosed herein (either explicitly or implicitly), or anygeneralization thereof, whether or not it mitigates any or all of theproblems addressed herein. Accordingly, new claims may be formulatedduring prosecution of this application (or an application claimingpriority hereto) to any such combination of features. In particular,with reference to the appended claims, features from dependent claimsmay be combined with those of the independent claims and features fromrespective independent claims may be combined in any appropriate mannerand not merely in the specific combinations enumerated in the appendedclaims.

What is claimed is:
 1. A method for implementing data migrationprocesses, the method comprising: receiving, by a server system atransaction request from a first service of a plurality of services, theserver system facilitating data access for the plurality of services viaa preexisting data store; determining, by the server system, that thetransaction request is associated with a data read to data stored by thepreexisting data store; determining, by the server system, that datafrom the preexisting data store is being migrated to a replacement datastore; responsive to determination that the data from the preexistingdata store is being migrated to the replacement data store, readingrequested read data for the data read using a dual-read operation modeby reading respective data entries from both the preexisting data storeand the replacement data store; verifying data read from the replacementdata store by comparing the respective data entries to determine whethera given data entry read from the preexisting data store matches a givencorresponding data entry read from the replacement data store; and inresponse to verifying that the data read from the replacement data storeduring the dual-read operation mode exceeds a quality threshold,designating the replacement data store as the primary data store used bythe server system to service requests from the plurality of services. 2.The method of claim 1, further comprising: generating a data qualityreport based on the comparing that indicates whether the data read fromthe replacement data store during the dual-read operation mode exceedsthe quality threshold.
 3. The method of claim 1, further comprising:determining, by the server system, that the transaction request isfurther associated with a data write to data stored by the preexistingdata store; and further responsive to determination that the data fromthe preexisting data store is being migrated to the replacement datastore, writing requested write data for the data write using adual-write operation mode by writing a given data entry to both thepreexisting data store and the replacement data store.
 4. The method ofclaim 1, wherein the preexisting data store is designated as a primarydata store to service a plurality of requests.
 5. The method of claim 1,further comprising: determining that the data migration process iscompleted; responsive to determining that the data migration process iscompleted, designating the replacement data store as the primary datastore; and responsive to designating the replacement data store as theprimary data store, decommissioning the preexisting data store suchthat, once decommissioned, the preexisting data store is no longer usedto service requests from the plurality of services.
 6. The method ofclaim 1, further comprising: determining that the data migration processis completed; responsive to determining that the data migration processis completed, designating the replacement data store as the primary datastore; and responsive to designating the replacement data store as theprimary data store, disabling the dual-read operation modes for theserver system such that the server system ceases at least reading datafrom the preexisting data store.
 7. The method of claim 1, wherein theverifying the data read from the replacement data store is performed bya data verification system accessible to the server system, wherein themethod further comprises receiving, by the server system from the dataverification system, a report indicating whether the data read from thereplacement data store during the dual-read operation mode exceeds thequality threshold.
 8. The method of claim 1, further comprising: priorto using the dual-read operation mode for the server system, replicatingdata from the preexisting data store to the replacement data store aspart of the migration of the data of the preexisting data store to thereplacement data store.
 9. A data migration server, comprising: at leastone processor; and a non-transitory, computer-readable medium havinginstructions stored thereon that are executable by the at least oneprocessor to cause the data migration server to: initiate a datamigration process to migrate data between a preexisting data store and areplacement data store, the preexisting data store designated as aprimary data store to provide data reads and writes to a plurality oftransaction requests for a plurality of services; receive, by a serversystem a transaction request from a first service of a plurality ofservices, the server system facilitating data access to the plurality ofservices via a preexisting data store; determine, by the server system,that the transaction request is associated with a data read to datastored by the preexisting data store; read requested read data for thedata read using a dual-read operation mode by reading respective dataentries from both the preexisting data store and the replacement datastore; verify data read from the replacement data store by comparing therespective data entries to determine whether a given data entry readfrom the preexisting data store matches a given corresponding data entryread from the replacement data store; and determine, based on verifyingthat the data read from the replacement data store during the dual-readoperation mode, whether to designate the replacement data store as theprimary data store used by the data migration server to service at leastsome requests from the plurality of services.
 10. The data migrationserver of claim 9, wherein the instructions are further executable tocause the data migration server to, generate a data quality report basedon the comparing that indicates whether the data read from thereplacement data store during the dual-read operation mode exceeds aquality threshold.
 11. The data migration server of claim 9, wherein theinstructions are further executable to cause the data migration serverto, determine, by the server system, that the transaction request isfurther associated with a data write to data stored by the preexistingdata store; and further responsive to determination that the data fromthe preexisting data store is being migrated to the replacement datastore, write requested write data for the data write using a dual-writeoperation mode by writing a given data entry to both the preexistingdata store and the replacement data store.
 12. The data migration serverof claim 9, wherein the preexisting data store is designated as aprimary data store to service a plurality of requests.
 13. The datamigration server of claim 9, wherein the instructions are furtherexecutable to cause the data migration server to determining that thedata migration process is completed; responsive to determining that thedata migration process is completed, designating the replacement datastore as the primary data store; and responsive to designating thereplacement data store as the primary data store, decommissioning thepreexisting data store such that, once decommissioned, the preexistingdata store is no longer used to service requests from the plurality ofservices.
 14. The data migration server of claim 9, wherein theinstructions are further executable to cause the data migration serverto designate the replacement data store as the primary data store inresponse to user input.
 15. A non-transitory, computer-readable mediumhaving instructions stored thereon that are executable by a datamigration server to perform operations comprising: initiating a datamigration process to migrate data between a preexisting data store and areplacement data store, the preexisting data store designated as aprimary data store to provide data reads and writes to a plurality oftransaction requests for a plurality of services; receiving atransaction request from a first service of a plurality of services, thedata migration server facilitating data access to the plurality ofservices via a preexisting data store; determining that the transactionrequest is associated with a data read to data stored by the preexistingdata store; reading requested read data for the data read using adual-read operation mode by reading respective data entries from boththe preexisting data store and the replacement data store; verifyingdata read from the replacement data store by comparing the respectivedata entries to determine whether a given data entry read from thepreexisting data store matches a given corresponding data entry readfrom the replacement data store; and determining, based on verifyingthat the data read from the replacement data store during the dual-readoperation mode, whether to designate the replacement data store as theprimary data store used by the data migration server to service at leastsome requests from the plurality of services.
 16. The non-transitory,computer-readable medium of claim 15, wherein the operations furthercomprise: generating a data quality report based on the comparing thatindicates whether the data read from the replacement data store duringthe dual-read operation mode exceeds a quality threshold.
 17. Thenon-transitory, computer-readable medium of claim 15, wherein theoperations further comprise: determining that the transaction request isfurther associated with a data write to data stored by the preexistingdata store; and further responsive to determination that the data fromthe preexisting data store is being migrated to the replacement datastore, writing requested write data for the data write using adual-write operation mode by writing a given data entry to both thepreexisting data store and the replacement data store.
 18. Thenon-transitory, computer-readable medium of claim 15, wherein thepreexisting data store is designated as a primary data store to servicea plurality of requests.
 19. The non-transitory, computer-readablemedium of claim 15, wherein the operations further comprise: determiningthat the data migration process is completed; responsive to determiningthat the data migration process is completed, designating thereplacement data store as the primary data store; and responsive todesignating the replacement data store as the primary data store,decommissioning the preexisting data store such that, oncedecommissioned, the preexisting data store is no longer used to servicerequests from the plurality of services.
 20. The non-transitory,computer-readable medium of claim 15, wherein the data migration processcomprises, prior to using the dual-read operation mode for the datamigration server, replicating data from the preexisting data store tothe replacement data store.